Triple
T18089089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayview, Idaho |
E432917
|
entity |
| Predicate | hasBodyOfWaterUse |
P44236
|
FINISHED |
| Object | U.S. Navy acoustic research on Lake Pend Oreille |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: U.S. Navy acoustic research on Lake Pend Oreille | Statement: [Bayview, Idaho, hasBodyOfWaterUse, U.S. Navy acoustic research on Lake Pend Oreille]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyOfWaterUse Context triple: [Bayview, Idaho, hasBodyOfWaterUse, U.S. Navy acoustic research on Lake Pend Oreille]
-
A.
waterbodyUsedFor
chosen
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
B.
hasWaterfrontUse
Indicates that an entity is used, designated, or suitable for activities or purposes directly related to a waterfront or shoreline area.
-
C.
hasNearbyWatersUsedBy
Indicates that a body of water located near an entity is utilized or accessed by another specified entity.
-
D.
hasRiverUse
Indicates that one entity makes use of a river associated with another entity, such as for transport, irrigation, recreation, or other purposes.
-
E.
hasBodyOfWaterType
Indicates that a body of water is classified as being of a particular type or category (such as lake, river, ocean, etc.).
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16e2148190a63cc981898e8ade |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.